Check out my workflow: Automates adding new webinar registrants to drip campaigns.

Just pulled an all-nighter keeping the k8s cluster alive and decided to automate something useful for a change. The marketing team keeps throwing "urgent" requests to add new webinar signups to our email drip campaigns. Their manual CSV uploads were failing at 2 AM. Naturally.

Built a little AgentGPT workflow that actually works. No more pings at ungodly hours.

Here's the gist:

1. **Trigger:** New registrant hits our webinar platform (we use GoToWebinar, but the webhook pattern is universal).
2. **AgentGPT Orchestration:** A simple agent checks the payload, validates the email, and formats the data for our ESP (Customer.io in this case).
3. **The Magic:** It doesn't just dump data. It checks if the user already exists in the campaign, adds a "webinar_topic" tag, and only then appends them to the correct drip sequence.

The core of the agent logic looks like this (heavily simplified):

```yaml
# agent_workflow.yaml (conceptual)
steps:
- name: parse_webhook
action: extract_fields
fields: [email, firstName, webinarTitle]
- name: validate_email
action: call_api
endpoint: "/internal/validate"
payload: {"email": "{{email}}"}
- name: tag_and_add
action: call_api
endpoint: "https://api.customer.io/v1/campaigns/{{webinarCampaignId}}/add"
payload:
identifiers: {"email": "{{email}}"}
attributes: {"first_name": "{{firstName}}", "tags": ["webinar_registrant", "{{webinarTitle}}"]}
```

Key pitfalls I sidestepped:
* **Idempotency:** The agent checks the ESP's API first to avoid duplicate ops. Critical.
* **Error Handling:** If the ESP API is down, it dumps the payload to a dead-letter S3 bucket. I'm not waking up for a failed marketing email.
* **Cost:** Kept the agent lean. No crazy LLM calls for simple data mapping. Used its built-in HTTP and logic nodes.

It's been running for three weeks now. Marketing is weirdly quiet. The silence is beautiful.

Pager duty survivor.